Cloud Video Surveillance

The Video Surveillance Cloud is a hybrid cloud solution that employs Web Camera Pro's real-time intelligent video analytics technology on the camera stream source side. The solution comprises a cloud server and a local application that can be installed on a phone, personal computer, or cloud camera. Web Camera Pro employs a real-time AI-based motion detector to significantly decrease the load on communication channels and cloud storage by several orders of magnitude. Video analytics can significantly reduce the load on data transmission channels compared to a conventional motion detector. The software is designed to function with a broad range of cameras, from basic USB webcams to advanced IP cameras, and provides advanced features for online security monitoring of video surveillance footage, object detection, motion detection, event-triggered and time-lapse recording, remote viewing, facial recognition, and automated license plate recognition. Web Camera Pro has a user-friendly and easy-to-navigate interface with a minimal number of options.
In order to utilize Video Surveillance Cloud, users need to either download the software onto their personal computer or mobile device or use the pre-installed Web Camera Pro software on the cloud camera. Once registered, users can access the program links through their personal account. The software programs are completely free, with users only charged for the storage space they utilize within the Video Surveillance Cloud service.
The issue with current cloud solutions is that they perform video analytics on the cloud server. This approach has a significant drawback: traditional cloud infrastructure is not efficient for processing raw video footage. This is because transmitting the entire video stream from security cameras to the cloud service is necessary. This presents a major problem, as video recordings and events may be lost due to communication disruptions or high channel loads, resulting in false alarms caused by artifacts that arise when the connection deteriorates.

Additionally, this solution is quite expensive for a variety of reasons:
  1. The expense of the channel and traffic: 24/7 video streaming can consume up to 648 GB of internet traffic in a single month for each IP camera with a 1920x1080 (HD) resolution. Some providers may reduce channel speed after a certain volume of traffic.
  2. The high cost of cloud video analytics services.
  3. The requirement to purchase a branded cloud camera that is only compatible with a particular cloud, or to pay for a white static IP address. This service is not inexpensive.
  4. Security is a concern. An IP camera is a simple and poorly protected microcomputer, resulting in a significant number of hacking attempts, information leaks, and DDoS attacks on external IP addresses.
    Moreover, Web Camera Pro's local storage buffers data and starts recording 10 seconds before an event occurs, increasing the fault tolerance of the video surveillance system. Triggering events activate recording, and data is transmitted to cloud storage depending on the channel's load.
    Web Camera Pro also allows streaming live video from surveillance cameras with almost no delay based on decentralized connections and P2P. Video Surveillane Cloud does not require expensive white IP addresses and complex setup procedures using UPnP or DDNS services. This significantly increases the security of the video surveillance system, as all devices can be protected by a firewall. The video stream is transmitted directly from one of the user's devices to another of their computer or mobile device without going through cloud servers, providing increased security. Additionally, Web Camera Pro offers time-lapse recording, allowing users to record video with one frame per second in the absence of motion, reducing disk space costs and increasing the storage time of the video archive.

    The combination of artificial intelligence and data decentralization technology in Web Camera Pro and Video Surveillance Cloud allows for the quick and cost-effective implementation of an efficient video surveillance system.
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